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Sergio Jesús González-Ambriz, Rolando Menchaca-Méndez, Sergio Alejandro Pinacho-Castellanos and Mario Eduardo Rivero-Ángeles
This paper presents the spectral gap-based topology control algorithm (SGTC) for wireless backhaul networks, a novel approach that employs the Laplacian Spectral Gap (LSG) to find expander-like graphs that optimize the topology of the network in terms of...
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Maolin Tang and Wei Li
Wireless communication tower placement arises in many real-world applications. This paper investigates a new emerging wireless communication tower placement problem, namely, continuous space wireless communication tower placement. Unlike existing wireles...
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Zhuoming Du, Junfeng Zhang, Zhao Ma and Jiaxin Xu
Collaboration between terminal airspace and airport surface operation shows an increasing significance for the best efficiency of both parts of the air traffic management domain. Runways play a critical role in connecting the two parts for departure and ...
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Xuan Lu, Yu Zhang, Lanbo Zheng, Caiyun Yang and Junjie Wang
The effective production scheduling of dry bulk ports is a challenging task that demands meticulous planning, task allocation based on customer requirements, as well as strategic route and timing scheduling. Dry bulk ports dedicated to handling commoditi...
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Shubhendu Kshitij Fuladi and Chang-Soo Kim
In the real world of manufacturing systems, production planning is crucial for organizing and optimizing various manufacturing process components. The objective of this paper is to present a methodology for both static scheduling and dynamic scheduling. ...
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Masahito Kumagai, Kazuhiko Komatsu, Masayuki Sato and Hiroaki Kobayashi
Combinatorial clustering based on the Ising model is drawing attention as a high-quality clustering method. However, conventional Ising-based clustering methods using the Euclidean distance cannot handle irregular data. To overcome this problem, this pap...
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Amirreza Nickkar and Young-Jae Lee
In many states in the United States, school bus fleets are assigned to serve students sequentially at three levels?high school, middle school, and elementary school; however, in past studies, each of these stages in the problem was considered separately....
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Kübra Kiziloglu and Ümit Sami Sakalli
Airlines face the imperative of resource management to curtail costs, necessitating the solution of several optimization problems such as flight planning, fleet assignment, aircraft routing, and crew scheduling. These problems present some challenges. Th...
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Muhammad Hanif Ramadhan, Imam Mustafa Kamal, Dohee Kim and Hyerim Bae
The growth in containerized shipping has led to the expansion of seaports, resulting in the emergence of multiple terminals. While multi-terminal systems increase port capacity, they also pose significant challenges to container transportation, particula...
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Hadi Papei and Yang Li
We propose a stochastic agglomerative algorithm to detect the local community of some given seed vertex/vertices in a network. Instead of giving a deterministic binary local community in the output, our method assigns every vertex a value that is the pro...
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Alexandr Kuznetsov, Mikolaj Karpinski, Ruslana Ziubina, Sergey Kandiy, Emanuele Frontoni, Oleksandr Peliukh, Olga Veselska and Ruslan Kozak
The problem of nonlinear substitution generation (S-boxes) is investigated in many related works in symmetric key cryptography. In particular, the strength of symmetric ciphers to linear cryptanalysis is directly related to the nonlinearity of substituti...
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Ridwan Ilyas, Masayu Leylia Khodra, Rinaldi Munir, Rila Mandala and Dwi Hendratmo Widyantoro
The paraphrase generator for citation sentences is used to produce several sentence alternatives to avoid plagiarism. Furthermore, the generation results need to pay attention to semantic similarity and lexical divergence standards. This study proposed t...
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Flavio Stochino, Alessandro Attoli, Michele Serra, Alberto Napoli, Daniel Meloni and Fausto Mistretta
In the case of old existing structures where the cultural value is very high, structural health analyses and investigations would be better performed without damages or service interruptions. Thus, modal analysis aimed at identifying eigenfrequencies and...
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Liping Chen, Hui Zhang, Wei Wang and Qiliang Zhang
Bidirectional asymptotic structure methods have long been used to solve topological optimization problems, but are prone to being stuck in local optimal solutions. To solve this problem, this paper proposed a topology optimization method based on the Bi-...
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Jun Long, Shimin Wu, Xiaodong Han, Yunbo Wang and Limin Liu
The increasing number of satellites for specific space tasks makes it difficult for traditional satellite task planning that relies on ground station planning and on-board execution to fully exploit the overall effectiveness of satellites. Meanwhile, the...
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Shuangxi Liu, Fengping Huang, Binbin Yan, Tong Zhang, Ruifan Liu and Wei Liu
In an effort to maximize the combat effectiveness of multimissile groups, this paper proposes an adaptive simulated annealing?particle swarm optimization (SA-PSO) algorithm to enhance the design parameters of multimissile formations based on the concept ...
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Sergiu-Dan Stan, Florin Popister, Alexandru Oarcea and Paul Ciudin
This paper deals with an up-to-date topic among robotic industrial applications that require a high degree of speed, rigidity, and orientation. Currently, when technology and software applications reach a high level of performance, in various robotic ind...
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Yan Liu, Shengyu Zhang and Haiying Hu
In the multi-satellite and multi-ground station downlink task scheduling problem, the waiting time from the proposal of the task to the execution will affect its validity. If the satellite has multiple communicable ground stations when the downlink task ...
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Szabolcs Szekér and Ágnes Vathy-Fogarassy
An essential criterion for the proper implementation of case-control studies is selecting appropriate case and control groups. In this article, a new simulated annealing-based control group selection method is proposed, which solves the problem of select...
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Qibing Jin, Nan Lin and Yuming Zhang
K-Means Clustering is a popular technique in data analysis and data mining. To remedy the defects of relying on the initialization and converging towards the local minimum in the K-Means Clustering (KMC) algorithm, a chaotic adaptive artificial bee colon...
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